Wasserstein Convergence of Score-based Generative Models under Semiconvexity and Discontinuous Gradients

Stefano Bruno, Sotirios Sabanis

Score-based Generative Models (SGMs) approximate a data distribution by perturbing it with Gaussian noise and subsequently denoising it via a learned reverse diffusion process. The…